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Weight Optimization for Distributed Average Consensus Algorithm in Symmetric, CCS & KCS Star Networks

This paper addresses weight optimization problem in distributed consensus averaging algorithm over networks with symmetric star topology. We have determined optimal weights and convergence rate of the network in terms of its topological parameters. In addition, two alternative topologies with more rapid convergence rates have been introduced. The new topologies are Complete-Cored Symmetric (CCS) star and K-Cored Symmetric (KCS) star topologies. It has been shown that the optimal weights for the edges of central part in symmetric and CCS star configurations are independent of their branches. By simulation optimality of obtained weights under quantization constraints have been verified.

preprint2011arXivOpen access
Saber JafarizadehAbbas Jamalipour
math.COmath.ITInformation TheoryDistributed, Parallel, and Cluster Computing
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Saber JafarizadehAbbas Jamalipour

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